Manon Dampfhoffer

According to our database, Manon Dampfhoffer authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey.

Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units.

Manon Dampfhoffer, Thomas Mesquida

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study.

Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

1S1R Sub-Threshold Operation in Crossbar Arrays for Neural Networks Hardware Implementation.

Joel Minguet Lopez, Manon Dampfhoffer, Tifenn Hirtzlin, Lucas Reganaz, Laurent Grenouillet, Gabriele Navarro, Mathieu Bernard, Thomas Magis, Catherine Carabasse, Niccolo Castellani, Valentina Meli, Elisa Vianello, Damien Deleruyelle, Jean-Michel Portal, Gabriel Molas, François Andrieu

Proceedings of the 30th International Conference on Mixed Design of Integrated Circuits and System, 2023

Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses.

Manon Dampfhoffer, Joel Minguet Lopez, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

Proceedings of the International Joint Conference on Neural Networks, 2023

Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting.

Manon Dampfhoffer, Thomas Mesquida, Emmanuel Hardy, Alexandre Valentian, Lorena Anghel

Proceedings of the IEEE International Conference on Acoustics, 2023

G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks.

Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks.

Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022